当今社会正处于一个信息化的时代，人们的日常生活中要面对和处理海量的数据，因此，对数据的分析显得尤为重要。随着《普通高中数学课程标准（2017年版）》提出数学核心素养，数据分析的受关注程度日渐增加，但高中生数据分析素养处于何种水平依然需要调查研究，因此分析高中生数据分析素养水平是十分重要的。

基于上述，本研究提出以下研究问题：1高中生数学分析素养的测评框架是什么？高中生数据分析素养的总体表现如何？存在哪些问题？高中生数据分析素养的培养策略有哪些？基于相关研究文献和《普通高中课程标准（2017年版）》对数据分析的研究，本研究构建了对高中生数据分析素养水平的测评框架，分为四个维度对高中生数据分析素养进行测评，分别是数据的收集、数据的整理、数据的分析和数据的应用。制定了高中生数据分析素养测试卷，选择珠海市某高中对高中生数据分析素养水平进行调查分析，并通过调查问卷了解影响高中生数据分析素养水平的因素，依据调查结果给出了培养策略。

研究结论如下：1. 整体来看，高中生的数据分析素养处于中等水平；2.被测学生解决综合性问题能力较弱；3.男女生性别在数据分析素养水平上没有显著差异；4.选科区别在数据分析素养上存在显著性差异；5.影响高中生数据分析素养水平的因素主要有平时学习情况、对数据分析的认识和统计知识内容学习情况等三个因素。

依据研究结果，从学生和学校的角度提出以下几点培养建议，学生层面分别为：1.体验完整的数据分析过程；2.将数据分析的方法运用于生活实际。学校层面分别为：1.编制数据分析相关的校本课程；2.提供完善的软硬件设施。

Today's society is in an information age, people have to face and process massive amounts of data in their daily lives, so the analysis of data is particularly important. With the "General High School Mathematics Curriculum Standards (2017 Edition)" proposing the core literacy of mathematics, researchers are paying more and more attention to data analysis, but the level of data analysis literacy of high school students still needs to be investigated, so it is very important to analyze the level of data analysis literacy of high school students.

Based on the above background, this study raises the following research questions: What is the level of data analysis literacy of high school students? What are the factors that affect the data analysis literacy level of high school students? What are the training strategies for data analysis literacy of high school students? Based on the relevant research literature and the data analysis study of the "General High School Curriculum Standards (2017 Edition)", this study constructs an assessment framework for the data analysis literacy level of high school students, which is divided into four dimensions to evaluate the data analysis literacy of high school students, namely data collection, data collation, data analysis and data application. At the same time, each dimension is divided horizontally, dividing into three levels. Based on the general high school mathematics textbook of the A version of human teaching, the assessment content was determined. According to the assessment content and assessment framework, a data analysis literacy test paper for high school students was formulated, a high school in Zhuhai City was selected to investigate and analyze the data analysis literacy level of high school students, and the factors affecting the data analysis literacy level of high school students were understood through the questionnaire, and the training strategy was given according to the survey results.

The conclusions of the study are as follows:1. 2. The overall data analysis literacy of high school students is at a moderate level; The tested students' ability to solve comprehensive problems is weak; 3.There is no significant difference in the level of data analysis literacy between male and female sexes; 4.There is a significant difference in data analysis literacy in the difference in subject selection; 5. The factors affecting the data analysis literacy level of high school students are mainly three factors: the usual learning, the understanding of data analysis and the learning of statistical knowledge content.

According to the research results, the following training suggestions are put forward from the perspective of students and schools: 1. Experience the complete data analysis process; 2. Apply data analysis methods to real life. At the school level: 1. Compile school-based courses related to data analysis; 2. 2. Provide perfect hardware and software facilities.